Training in progress epoch 45

README.md

@@ -14,24 +14,24 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1721
-- Validation Loss: 0.4380
-- Validation Mean Iou: 0.3659
-- Validation Mean Accuracy: 0.4303
-- Validation Overall Accuracy: 0.8830
-- Validation Per Category Iou: [0.         0.79204009 0.88761045 0.81838271 0.87599756 0.55268285
-        nan 0.51243018 0.57342413 0.1328     0.86370891 0.12697056
- 0.         0.01482085 0.         0.54979459 0.         0.
- 0.7440432  0.07280754 0.43229119 0.48547786 0.1754386         nan
- 0.04705945 0.29268443 0.28866261 0.         0.86370303 0.73106053
- 0.94208474 0.03836815 0.07654387 0.18451303 0.        ]
-- Validation Per Category Accuracy: [0.         0.91791605 0.9276758  0.9021757  0.9262825  0.70668615
-        nan 0.6749058  0.79231422 0.1871899  0.94815532 0.13258628
- 0.         0.01877063 0.         0.65320205 0.         0.
- 0.86297038 0.08255398 0.62974983 0.64313491 0.20172911        nan
- 0.05861925 0.36101085 0.32994024 0.         0.9582507  0.8229035
- 0.97011706 0.05883881 0.16712557 0.26603474 0.        ]
-- Epoch: 44
+- Train Loss: 0.1781
+- Validation Loss: 0.4529
+- Validation Mean Iou: 0.3574
+- Validation Mean Accuracy: 0.4191
+- Validation Overall Accuracy: 0.8774
+- Validation Per Category Iou: [0.         0.80590718 0.86988106 0.71453937 0.86614986 0.4249264
+        nan 0.47975456 0.54781776 0.09453882 0.84344987 0.10822898
+ 0.         0.05507559 0.         0.52010855 0.         0.
+ 0.74685485 0.08247778 0.43946981 0.52154191 0.24444444        nan
+ 0.03570312 0.29856758 0.28932541 0.         0.86943451 0.76210843
+ 0.93975656 0.04628113 0.00666137 0.17955183 0.        ]
+- Validation Per Category Accuracy: [0.         0.90777016 0.93538454 0.74532453 0.96011721 0.53476928
+        nan 0.67329934 0.81065134 0.10744249 0.95209245 0.16798889
+ 0.         0.06311881 0.         0.58061937 0.         0.
+ 0.86390726 0.09013307 0.63941956 0.64314678 0.28530259        nan
+ 0.04266215 0.38685357 0.33004447 0.         0.94754825 0.87771988
+ 0.97640668 0.04758102 0.0090947  0.25304287 0.        ]
+- Epoch: 45
 
 ## Model description
 
@@ -618,6 +618,17 @@ The following hyperparameters were used during training:
  0.86297038 0.08255398 0.62974983 0.64313491 0.20172911        nan
  0.05861925 0.36101085 0.32994024 0.         0.9582507  0.8229035
  0.97011706 0.05883881 0.16712557 0.26603474 0.        ]                                                                                                                                                         | 44    |
+| 0.1781     | 0.4529          | 0.3574              | 0.4191                   | 0.8774                      | [0.         0.80590718 0.86988106 0.71453937 0.86614986 0.4249264
+        nan 0.47975456 0.54781776 0.09453882 0.84344987 0.10822898
+ 0.         0.05507559 0.         0.52010855 0.         0.
+ 0.74685485 0.08247778 0.43946981 0.52154191 0.24444444        nan
+ 0.03570312 0.29856758 0.28932541 0.         0.86943451 0.76210843
+ 0.93975656 0.04628113 0.00666137 0.17955183 0.        ]                                                                                                                                                         | [0.         0.90777016 0.93538454 0.74532453 0.96011721 0.53476928
+        nan 0.67329934 0.81065134 0.10744249 0.95209245 0.16798889
+ 0.         0.06311881 0.         0.58061937 0.         0.
+ 0.86390726 0.09013307 0.63941956 0.64314678 0.28530259        nan
+ 0.04266215 0.38685357 0.33004447 0.         0.94754825 0.87771988
+ 0.97640668 0.04758102 0.0090947  0.25304287 0.        ]                                                                                                                                                        | 45    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:33966b9e03e8038d4b9f3001ad31554d2721f74c38a840a21f5a8510d9183bbc
+oid sha256:f36deb2506de683e9ef30a4d7ea112c537ce13c3cd1daf4e4053e37cea35c6a4
 size 15167588